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Direction of Arrival Estimation of GPS Narrowband Jammers Using High-Resolution Techniques
Mohamed Moussa1, Abdalla Osman2, Mohamed Tamazin3
1Electrical and Computer Engineering Department, Queen's University, Kingston, ON K7L 3N6, Canada.
This study introduces a new method to detect GPS jamming signals more accurately. It improves the detection of multiple jammers, enhancing GPS anti-jamming capabilities.
Area of Science:
- Navigation Systems
- Signal Processing
- Electromagnetics
Background:
- Global Positioning System (GPS) jamming poses a significant threat to navigation and timing applications.
- Accurate jamming detection, particularly Direction of Arrival (DOA) estimation, is crucial for effective mitigation.
- Challenges arise with narrow spatial separation between multiple jamming sources, leading to detection errors.
Purpose of the Study:
- To enhance the anti-jamming detection capabilities of GPS receivers.
- To improve the accuracy of Direction of Arrival (DOA) estimation for single and multiple jamming signals.
- To refine the mitigation process by ensuring correct jammer identification and localization.
Main Methods:
- The study proposes an enhanced array processing method for GPS receivers equipped with Uniform Linear Array (ULA) and Uniform Circular Array (UCA).
- Fast Orthogonal Search (FOS) algorithm is utilized for accurate DOA estimation of in-band Continuous Wave (CW) jammers.
- Performance is benchmarked against classical methods and Multiple Signal Classification (MUSIC).
Main Results:
- The proposed FOS-based method achieves higher accuracy in DOA estimates compared to existing techniques.
- Accurate estimation of jammer amplitudes is achieved.
- The method correctly identifies the number of jamming sources, even in challenging scenarios with narrow spatial separation.
Conclusions:
- The enhanced FOS method significantly improves GPS receivers' anti-jamming performance.
- Accurate jammer detection prevents erroneous spatial attenuation of legitimate GPS signals.
- This research contributes to more robust and reliable GPS applications in the presence of jamming threats.
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